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Sybot : An Adaptive and Mobile Spectrum Survey System for WiFi Networks

Sybot : An Adaptive and Mobile Spectrum Survey System for WiFi Networks. Kyu-Han Kim, Alexander W. Min,Kang G. Shin Mobicom 2010 - Twohsien 2010.12.08. OUTLINES. Motivations Architecture System Prototype Evaluation Conclusion. OUTLINES. Motivations Architecture

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Sybot : An Adaptive and Mobile Spectrum Survey System for WiFi Networks

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  1. Sybot:An Adaptive and Mobile Spectrum Survey System for WiFi Networks Kyu-Han Kim, Alexander W. Min,Kang G. Shin Mobicom 2010 -Twohsien 2010.12.08

  2. OUTLINES • Motivations • Architecture • System Prototype • Evaluation • Conclusion

  3. OUTLINES • Motivations • Architecture • System Prototype • Evaluation • Conclusion

  4. Motivations • Limitations of Existing Approaches • Accuracy and repeatability • Efficiency and flexibility • Adaptation and awareness

  5. OUTLINES • Motivations • Architecture • System Prototype • Evaluation • Conclusion

  6. Architecture • Overview of Sybot • Periodic and aperiodic monitoring • Decomposition • Use of spatio-temporal variance • Adaptive and controllable monitoring • Adaptive Spectrum Monitoring

  7. Architecture

  8. Architecture

  9. Architecture

  10. Architecture

  11. Architecture • Overview of Sybot • Adaptive Spectrum Monitoring • Complete Monitoring • Selective Monitoring • Diagnostic Monitoring

  12. Architecture – Complete monitoring • Building a comprehensive map • Grid size • Temporal variance

  13. Architecture – Selective monitoring • Reference grids • Smallest set • Accuracy

  14. Architecture – Diagnostic monitoring • Detecting abnormal changes • Speculating measurement areas • Exploiting external network monitoring information

  15. OUTLINES • Motivations • Architecture • System Prototype • Evaluation • Conclusion

  16. System Prototype of Sybot – Software Implementation • Mobility control module • Spectrum monitoring module

  17. System Prototype of Sybot – Hardware Implementation • iRobot • RB230 wireless router • Sonar sensor

  18. OUTLINES • Motivations • Architecture • System Prototype • Evaluation • Conclusion

  19. Evaluation • Testbed Setup • 12 Aps • Long-term: three times a day • Short-term: 5-10 times a day • Unit grid size: 20in * 30in

  20. Evaluation • Repeatability • Impact of grid size • Reducing the space to measure • Gains form adaptive selection of reference grids • Diagnosis of abnormal spectrum condition

  21. Evaluation - Repeatability

  22. Evaluation - Impact of grid size

  23. Evaluation - Impact of grid size

  24. Evaluation – Reducing the space to measure

  25. Evaluation – Reducing the space to measure

  26. Evaluation – Reducing the space to measure

  27. Evaluation – Gains from adaptive selection of reference grids

  28. Evaluation – Diagnosis of abnormal spectrum condition

  29. OUTLINES • Motivations • Architecture • System Prototype • Evaluation • Conclusion

  30. Conclusion • Discussion • Multiple Aps • Multiple Sybots • Concluding Remarks • Three monitoring techniques that significantly reduce the measurement overhead • Provide accurate spectrum-monitoring result under dynamic spectrum conditions • Determine trade-off between accuracy and efficiency

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